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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18866
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    Explanations

    questions and demands directed towards someone

    oai_token-act-pair · gpt-3.5-turbo

    interrogative phrases or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.81
    imposed
    -0.58
    inducing
    -0.55
    mittedly
    -0.54
    geoning
    -0.53
    surprisingly
    -0.52
     Additionally
    -0.51
    inction
    -0.49
     culminating
    -0.48
     Historically
    -0.48
    POSITIVE LOGITS
    !'"
    0.99
     â̦"
    0.98
    !"
    0.91
    !",
    0.90
    '"
    0.89
    â̦"
    0.87
    ?!"
    0.86
    ?"
    0.84
    ',"
    0.84
    !".
    0.84
    Activations Density 0.553%

    No Known Activations